[7531] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System.Collections.Generic;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[7549] | 26 | using HeuristicLab.Problems.DataAnalysis.Interfaces.Classification;
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[7531] | 27 |
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| 28 | namespace HeuristicLab.Problems.DataAnalysis {
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| 29 | /// <summary>
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| 30 | /// Base class for weight calculators for classification solutions in an ensemble.
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| 31 | /// </summary>
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| 32 | [StorableClass]
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| 33 | public abstract class DiscriminantClassificationWeightCalculator : ClassificationWeightCalculator {
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| 34 | [StorableConstructor]
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| 35 | protected DiscriminantClassificationWeightCalculator(bool deserializing) : base(deserializing) { }
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| 36 | protected DiscriminantClassificationWeightCalculator(DiscriminantClassificationWeightCalculator original, Cloner cloner)
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| 37 | : base(original, cloner) {
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| 38 | }
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| 39 | public DiscriminantClassificationWeightCalculator()
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| 40 | : base() {
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| 41 | }
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| 42 |
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[7549] | 43 | protected override IEnumerable<double> CalculateWeights(IEnumerable<IClassificationSolution> classificationSolutions) {
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[7531] | 44 | if (!classificationSolutions.All(x => x is IDiscriminantFunctionClassificationSolution))
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[7549] | 45 | return Enumerable.Repeat<double>(1.0, classificationSolutions.Count());
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[7531] | 46 |
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[7549] | 47 | IEnumerable<IDiscriminantFunctionClassificationSolution> discriminantSolutions = classificationSolutions.Cast<IDiscriminantFunctionClassificationSolution>();
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[7531] | 48 |
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| 49 | return DiscriminantCalculateWeights(discriminantSolutions);
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| 50 | }
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| 51 |
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[7549] | 52 | protected abstract IEnumerable<double> DiscriminantCalculateWeights(IEnumerable<IDiscriminantFunctionClassificationSolution> discriminantSolutions);
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[7531] | 53 |
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[7549] | 54 | public override IEnumerable<double> AggregateEstimatedClassValues(IEnumerable<IClassificationSolution> solutions, Dataset dataset, IEnumerable<int> rows, CheckPoint handler) {
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| 55 | if (!solutions.All(x => x is IDiscriminantFunctionClassificationSolution))
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[7531] | 56 | return Enumerable.Repeat<double>(0.0, rows.Count());
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| 57 |
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[7549] | 58 | IEnumerable<IDiscriminantFunctionClassificationSolution> discriminantSolutions = solutions.Cast<IDiscriminantFunctionClassificationSolution>();
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[7531] | 59 |
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[7549] | 60 | IEnumerable<IDictionary<IClassificationSolution, double>> estimatedClassValues = GetEstimatedClassValues(solutions, dataset, rows, handler);
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| 61 | IEnumerable<IDictionary<IClassificationSolution, double>> estimatedValues = GetEstimatedValues(discriminantSolutions, dataset, rows, handler);
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[7531] | 62 |
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| 63 | return from zip in estimatedClassValues.Zip(estimatedValues, (classValues, values) => new { ClassValues = classValues, Values = values })
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| 64 | select DiscriminantAggregateEstimatedClassValues(zip.ClassValues, zip.Values);
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| 65 | }
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| 66 |
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[7549] | 67 | protected virtual double DiscriminantAggregateEstimatedClassValues(IDictionary<IClassificationSolution, double> estimatedClassValues, IDictionary<IClassificationSolution, double> estimatedValues) {
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[7531] | 68 | return AggregateEstimatedClassValues(estimatedClassValues);
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| 69 | }
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| 70 |
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[7549] | 71 | protected IEnumerable<IDictionary<IClassificationSolution, double>> GetEstimatedValues(IEnumerable<IDiscriminantFunctionClassificationSolution> solutions, Dataset dataset, IEnumerable<int> rows, CheckPoint handler) {
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| 72 | var estimatedValuesEnumerators = (from solution in solutions
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| 73 | select new { Solution = solution, EstimatedValuesEnumerator = solution.Model.GetEstimatedClassValues(dataset, rows).GetEnumerator() })
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| 74 | .ToList();
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[7531] | 75 |
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[7549] | 76 | var rowEnumerator = rows.GetEnumerator();
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| 77 | while (rowEnumerator.MoveNext() && estimatedValuesEnumerators.All(x => x.EstimatedValuesEnumerator.MoveNext())) {
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| 78 | yield return (from enumerator in estimatedValuesEnumerators
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| 79 | where handler(enumerator.Solution.ProblemData, rowEnumerator.Current)
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| 80 | select enumerator)
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| 81 | .ToDictionary(x => (IClassificationSolution)x.Solution, x => x.EstimatedValuesEnumerator.Current);
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[7531] | 82 | }
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| 83 | }
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[7562] | 84 |
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| 85 | public sealed override double GetConfidence(IEnumerable<IClassificationSolution> solutions, int index, double estimatedClassValue) {
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| 86 | if (solutions.Count() < 1 || !solutions.All(x => x is IDiscriminantFunctionClassificationSolution))
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| 87 | return double.NaN;
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| 88 |
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| 89 | IEnumerable<IDiscriminantFunctionClassificationSolution> discriminantSolutions = solutions.Cast<IDiscriminantFunctionClassificationSolution>();
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| 90 |
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| 91 | return GetDiscriminantConfidence(discriminantSolutions, index, estimatedClassValue);
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| 92 | }
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| 93 |
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| 94 | protected virtual double GetDiscriminantConfidence(IEnumerable<IDiscriminantFunctionClassificationSolution> solutions, int index, double estimatedClassValue) {
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| 95 | return base.GetConfidence(solutions, index, estimatedClassValue);
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| 96 | }
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[7531] | 97 | }
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| 98 | }
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